Papers with CET
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder (2024.acl-long)
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| Challenge: | EEG-based language decoding is still in its nascent stages, despite promising applications in brain-computer interfaces. |
| Approach: | They propose a novel EEG-text Masked Autoencoder that orchestrates compound self-supervised learning across and within EEG and text through a dedicated multi-stream encoder. |
| Outcome: | The proposed model outperforms baseline framework in ROUGE-1 F1 and BLEU-4 scores and an LLM (specifically BART) to improve downstream tasks involving EEG and text. |
Side Effects of Erasing Concepts from Diffusion Models (2025.findings-emnlp)
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| Challenge: | Concept erasure techniques (CETs) are used to erade text-to-image (T2I) generative models infringing on privacy, copyright and safety. |
| Approach: | They propose a side effect evaluation benchmark to measure the robustness of CETs. |
| Outcome: | The proposed techniques can be easily circumvented by hierarchy, prompts, and compositional variants of the target. |